At a Glance
- Tasks: Build and operate systematic strategies in prediction markets and event-driven trading.
- Company: Trireme, a forward-thinking firm expanding its quantitative research capabilities.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovation and real-world impact.
- Why this job: Dive into the exciting world of prediction markets and make data-driven decisions.
- Qualifications: Proficiency in Python and a strong understanding of statistics and market microstructure.
The predicted salary is between 63000 - 77000 £ per year.
Trireme is expanding its quantitative research capability into prediction markets and event-driven trading.
The role requires building and operating systematic strategies where market prices reflect probabilities of real-world outcomes.
You will research statistics, market microstructure, and news-driven data to identify edge while accounting for liquidity, costs and model uncertainty.
Candidates should be proficient in Python.
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Prediction Markets Quant Trader & Researcher in London employer: Trireme
Trireme Trading is an exceptional employer for those looking to thrive in the dynamic world of cryptocurrency. With a strong focus on employee growth and a culture that encourages innovation, we offer competitive compensation packages and the flexibility of remote work, allowing you to balance your professional and personal life while making a significant impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Prediction Markets Quant Trader & Researcher in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Trireme!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Trireme.
✨Apply Directly through Our Website
When you find a suitable opening like Prediction Markets Quant Trader & Researcher at Trireme, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Prediction Markets Quant Trader & Researcher in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Trireme, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Trireme. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Trireme
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Trireme!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
